Instructor-learner body coupling reflects instruction and learning.

Area of Science:

• Cognitive Science
• Educational Psychology
• Human-Computer Interaction

Background:

• Nonverbal communication is recognized as vital for effective learning.
• The precise role of interpersonal coordination and its impact on learning remains under-explored.
• The influence of instructional strategies on physical motion coupling between instructors and learners is not well understood.

Purpose of the Study:

• To investigate how different instructional approaches affect Body-to-Body Coupling (BtBC) between instructors and learners.
• To determine if instruction-mediated BtBC influences learning outcomes.
• To explore the potential of BtBC as a predictor of learning and instructional methods.

Main Methods:

• Utilized video-based computer-vision Motion Energy Analysis (MEA) to quantify BtBC.
• Compared BtBC during two distinct instructional approaches: scaffolding and explanation.
• Employed machine learning models (support vector and logistic regression) to decode learning outcomes and instructional approaches from BtBC data.

Main Results:

• Significantly greater BtBC was observed when instructors used a scaffolding approach compared to an explanation approach.
• Instructor's physical motion positively correlated with BtBC during scaffolding but not during explanation.
• Machine learning models successfully decoded both learning outcomes and instructional approaches based on BtBC patterns.

Conclusions:

• Real-time physical interaction (BtBC) between instructors and learners is crucial for learning.
• The instructional approach significantly modulates BtBC, highlighting its importance.
• Findings have implications for optimizing both in-person and online learning environments through enhanced nonverbal communication strategies.